29 web-programmer-developer-"https:"-"PhD-Jobs"-"https:"-"https:"-"https:" Postdoctoral positions at Duke University
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Duties Conduct independent and mentored research in PYD for AYAs with chronic conditions and their families. Plan and execute research goals, publish dissertation work, and develop career award proposals
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primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This multidisciplinary program is focused on developing
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. The appointment is viewed as preparatory for a full time academic or research career. The appointment is not part of a clinical research training program, unless research training under the supervision of a senior
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: Apply Position Description Occupational Summary: The Duke Quantum Center is seeking a Postdoctoral Researcher to develop a research program in integrated sensing and communication for 6G wireless in Dr
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clip biopsies, mark mice (tattoo, ear tag, etc.), and wean pups · Collect, analyze, manage, and interpret data and prepare reports · Prepare manuscripts for publication in peer-reviewed journals
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. This position is ideal for a candidate who is passionate about scientific software development and eager to contribute to precision cosmology in the era of overlapping, multi-wavelength surveys. If this is you
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will contribute to developing and evaluating state-of-the-art methods for predicting mental health outcomes from multi-modal clinical and digital health data. This position offers the opportunity to work
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projects within the lab as well as your own. Write fellowship and/or grant applications as appropriate for the development of your career. Present research findings at local and national scientific meetings
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Health Sciences Division and the GEMINI Center members, support grant proposal development and engage with research activities in the department. Similarly, there may be some travel opportunities in
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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and